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Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Shakudo Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
QuadReal Construction and Real Estate 1000 $500M Canada Shakudo Shakudo Platform Generative AI Platforms 2023 n/a In 2023, QuadReal deployed the Shakudo Platform in Canada to establish a more flexible data and AI stack for real-estate analytics. QuadReal leveraged Shakudo to evolve components over time and to provision capabilities aligned with Generative AI Platforms for property and portfolio analysis. Implementation centered on modular real-estate analytics and data engineering pipeline capabilities of the Shakudo Platform, including data ingestion orchestration, scalable training and inference workflows, and model lifecycle controls typical of generative AI platforms. The Shakudo Platform was configured to support iterative refinement of analytics modules, allowing data engineering teams to update pipelines and models without wholesale platform changes. Operational scope emphasized Canadian asset and portfolio analytics teams within QuadReal, where the platform supported analytics and data engineering functions across property and investment workflows. Deployment architecture favored a componentized, API-centric topology that enabled incremental component evolution and aligned with enterprise data and AI governance practices. Governance centered on managed model lifecycle and release cadence, with processes to version analytic pipelines and control model promotion into production. The stated outcome was a more flexible data and AI stack, realized through the Shakudo Platform and its Generative AI Platforms capabilities, enabling QuadReal to adapt analytics components as business needs changed.
Quantum Metric Professional Services 500 $100M United States Shakudo Shakudo Platform Generative AI Platforms 2023 n/a In 2023 Quantum Metric implemented the Shakudo Platform, a Generative AI Platforms solution, to streamline its digital-analytics infrastructure in the United States. The deployment targeted removal of scaling and infrastructure blockers so product development and analytics teams could concentrate on core analytics and product work rather than platform management. Quantum Metric provisioned the Shakudo Platform with inferred modules including a Data and AI operating system and a data platform with MLOps capabilities. The implementation centralized model lifecycle management, feature engineering workflows, dataset versioning, and inference orchestration within the Shakudo Platform to support repeatable model deployment and operationalization that aligns with analytics pipelines. Operational scope was focused on teams in the United States, with rollout oriented toward product and analytics organizations. Governance and process changes included establishing pipeline ownership, access controls, and model governance practices to support the MLOps workflows delivered by the Shakudo Platform, enabling teams to shift effort from infrastructure scaling to product and analytics priorities.
Ritual Professional Services 100 $15M Canada Shakudo Shakudo Platform Generative AI Platforms 2024 n/a In 2024 Ritual implemented the Shakudo Platform to modernize its data engineering and AI operations. The Shakudo Platform, classified under Generative AI Platforms, was deployed in North America to consolidate upstream data flows and operationalize model pipelines for a 100 person professional services firm. The implementation focused on two primary module areas, data integration and data engineering MLOps, aligning platform capabilities to ingestion, transformation, orchestration, and model training and serving workflows. Ritual configured cloud native pipeline orchestration and transformation patterns to replace multiple point tools, centralizing schema management, scheduling, and environment separation for development and production workloads. Ritual replaced prior ETL synchronization using Stitch and Fivetran, consolidating connector management and reducing recurring sync complexity. Operational coverage included the companys data engineering and AI operations teams across North America, with the Shakudo Platform serving as the core ingestion and model operationalization layer tied to existing operational data sources. Governance changes emphasized standardized pipeline templates, centralized access controls, and runtime observability to reduce maintenance overhead and simplify incident response. The deployment produced an explicit reduction in data sync costs of roughly 60 percent, while platform consolidation reduced the number of separate ingestion tools in scope for governance and operations.
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Buyer Intent: Companies Evaluating Shakudo Platform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Shakudo Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Shakudo Platform for Generative AI Platforms include:

  1. Huntington National Bank, a United States based Banking and Financial Services organization with 20924 Employees

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